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An Altmetric Study on Dental Informatics

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Advances in Computer Vision and Computational Biology

Abstract

Dental informatics is a relatively new research field, but its publication has been steadily increasing in the past decade. Altmetric is a platform that collects information from different web sources and combines it together into a citation-based metric for researchers, publishers, and institutions. It tracks the attention that research outputs (such as scholarly articles and datasets) receive online. Altmetric Explorer is an easy-to-use web-based platform that enables users to browse and report on all attention data for a given scholarly output (including journal articles and dataset). Given the nature of dental informatics, research is quite practical. The purpose of this study is to perform an Altmetric analysis to systematically study research trends on dental informatics. The study identifies various aspects of research outputs on dental informatics (attention scores, a timeline of mentions, yearly publication total, top ten journals, top 15 affiliation of first authors, and top five mention categories) that would be of interest to both researchers and practitioners in the field. In conclusion, dental informatics needs more publicity. Although there is an increase in multiple aspects (such as social media mentions and publications) in dental informatics research, it is not enough to match other popular fields.

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Correspondence to Qiping Zhang .

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Chen, J., Zhang, Q. (2021). An Altmetric Study on Dental Informatics. In: Arabnia, H.R., Deligiannidis, L., Shouno, H., Tinetti, F.G., Tran, QN. (eds) Advances in Computer Vision and Computational Biology. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-71051-4_50

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  • DOI: https://doi.org/10.1007/978-3-030-71051-4_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71050-7

  • Online ISBN: 978-3-030-71051-4

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